Corpus ID: 46842916

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

@inproceedings{Futoma2017AnIM,
  title={An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection},
  author={Joseph D. Futoma and Sanjay Hariharan and Katherine A. Heller and Mark P. Sendak and Nathan Brajer and Meredith Edwards Clement and Armando D Bedoya and Cara O'Brien},
  booktitle={MLHC},
  year={2017}
}
Sepsis is a poorly understood and potentially life-threatening complication that can occur as a result of infection. Early detection and treatment improves patient outcomes, and as such it poses an important challenge in medicine. In this work, we develop a flexible classifier that leverages streaming lab results, vitals, and medications to predict sepsis before it occurs. We model patient clinical time series with multi-output Gaussian processes, maintaining uncertainty about the physiological… Expand
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